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    • 3. 发明授权
    • Determining advertising effectiveness outside of a social networking system
    • 确定社交网络系统之外的广告效果
    • US08874639B2
    • 2014-10-28
    • US12977038
    • 2010-12-22
    • Robert Taaffe LindsaySean Michael BruichBradley Hopkins Smallwood
    • Robert Taaffe LindsaySean Michael BruichBradley Hopkins Smallwood
    • G06F15/16G06Q50/00G06Q30/02
    • G06Q30/0269G06Q30/0241G06Q50/01H04L67/42
    • A social networking system or other user registration site builds a log of exposures by users to advertisements outside of the user registration site to determine their effectiveness. For each user exposed to an advertisement, a log entry is created indicating that the user has been exposed to the advertisement. Tracking pixels are embedded into advertisements that, when accessed, enable the social networking system or user registration site to log access to the advertisement by the user. From the log files, the user registration site identifies exposed users and selects unexposed users with similar demographics and/or behavior information to generate a control group. The two groups can be surveyed about the advertisement to determine its effectiveness. The user exposure information also can be used to retarget advertisements, to measure advertising effectiveness on connections of exposed users, and to measure actions of exposed users.
    • 社交网络系统或其他用户注册站点建立用户对用户注册站点外的广告的曝光日志,以确定其有效性。 对于暴露于广告的每个用户,创建指示用户已经暴露于广告的日志条目。 跟踪像素被嵌入到广告中,当被访问时,使社交网络系统或用户注册站点能够记录用户对广告的访问。 从日志文件中,用户注册站点识别暴露的用户并且选择具有类似人口统计信息和/或行为信息的未被暴露的用户来生成控制组。 这两个群体可以对广告进行调查,以确定其有效性。 用户曝光信息还可以用于重新定位广告,以测量暴露用户的连接上的广告效果,并且测量暴露的用户的动作。
    • 4. 发明申请
    • Determining Advertising Effectiveness Outside of a Social Networking System
    • 确定社交网络系统之外的广告效果
    • US20120166520A1
    • 2012-06-28
    • US12977038
    • 2010-12-22
    • Robert Taaffe LindsaySean Michael BruichBradley Hopkins Smallwood
    • Robert Taaffe LindsaySean Michael BruichBradley Hopkins Smallwood
    • G06F15/16
    • G06Q30/0269G06Q30/0241G06Q50/01H04L67/42
    • A social networking system or other user registration site builds a log of exposures by users to advertisements outside of the user registration site to determine their effectiveness. For each user exposed to an advertisement, a log entry is created indicating that the user has been exposed to the advertisement. Tracking pixels are embedded into advertisements that, when accessed, enable the social networking system or user registration site to log access to the advertisement by the user. From the log files, the user registration site identifies exposed users and selects unexposed users with similar demographics and/or behavior information to generate a control group. The two groups can be surveyed about the advertisement to determine its effectiveness. The user exposure information also can be used to retarget advertisements, to measure advertising effectiveness on connections of exposed users, and to measure actions of exposed users.
    • 社交网络系统或其他用户注册站点建立用户对用户注册站点外的广告的曝光日志,以确定其有效性。 对于暴露于广告的每个用户,创建指示用户已经暴露于广告的日志条目。 跟踪像素被嵌入到广告中,当被访问时,使社交网络系统或用户注册站点能够记录用户对广告的访问。 从日志文件中,用户注册站点识别暴露的用户并且选择具有类似人口统计信息和/或行为信息的未被暴露的用户来生成控制组。 这两个群体可以对广告进行调查,以确定其有效性。 用户曝光信息还可以用于重新定位广告,以测量暴露用户的连接上的广告效果,并且测量暴露的用户的动作。
    • 8. 发明申请
    • ASSIGNING SOCIAL NETWORKING SYSTEM USERS TO HOUSEHOLDS
    • 组织社会网络系统用户家庭用品
    • US20130151527A1
    • 2013-06-13
    • US13677885
    • 2012-11-15
    • Sean Michael BruichBadley Hopkins Smallwood
    • Sean Michael BruichBadley Hopkins Smallwood
    • G06F17/30
    • G06F17/30598G06F7/24G06F17/30867G06Q30/0269G06Q50/01H04L67/02H04L67/18
    • Users of a social networking system are assigned to households using prediction models that rely, in part, on user profile information and social graph data. Information about users may be received by a social networking system through various channels (e.g., declared/profile information, user history, IP addresses, Global Positioning System (GPS) data from check-in events and/or continuously provided by mobile devices, external household information, and/or social information). Scoring models may use statistical analysis of the received user information to predict household membership for users. User attributes, such as previous names, date of birth, social graph data, locations, life events, and check-ins, may be factors in generating confidence scores of predicted household memberships. Weighted scoring models may use machine learning methods for measuring the accuracy of the household membership prediction. The social networking system may use a machine learning algorithm to analyze user information to determine confidence scores for matching potential households.
    • 将社交网络系统的用户分配给使用部分依赖于用户简档信息和社交图表数据的预测模型的家庭。 关于用户的信息可以由社交网络系统通过各种渠道(例如,从签到事件和/或由移动设备连续提供的声明/简档信息,用户历史,IP地址,全球定位系统(GPS)数据)和外部 家庭信息和/或社会信息)。 评分模型可以使用所接收的用户信息的统计分析来预测用户的家庭成员资格。 诸如以前的姓名,出生日期,社交图表数据,地点,生活事件和签到等用户属性可能是产生预测家庭成员资格的信心分数的因素。 加权评分模型可以使用机器学习方法来测量家庭成员预测的准确性。 社交网络系统可以使用机器学习算法来分析用户信息以确定用于匹配潜在家庭的置信度得分。
    • 10. 发明申请
    • SEQUENCING DISPLAY ITEMS IN A SOCIAL NETWORKING SYSTEM
    • 在社交网络系统中的顺序显示项目
    • US20130204710A1
    • 2013-08-08
    • US13367607
    • 2012-02-07
    • Brian Thomas BolandSean Michael Bruich
    • Brian Thomas BolandSean Michael Bruich
    • G06Q30/02
    • G06Q30/0241G06Q50/01
    • In one embodiment, the social networking selects a display item to display to a viewing user based on information about the viewing user and a display sequence tree associated with an ad campaign. The display items include advertisements, sponsored stories, and content objects created by users. The information about the user includes the viewing user's interactions, the viewing user's demographic information, and the viewing user's inferred characteristics. A display sequence tree associated with an ad campaign is a hierarchical arrangement of nodes that correspond to display items and represent possible sequences of display items. An ad campaign includes at least one request for a display item.
    • 在一个实施例中,社交网络基于关于观看用户的信息和与广告活动相关联的显示序列树选择显示项目以向观看用户显示。 显示项目包括由用户创建的广告,赞助故事和内容对象。 关于用户的信息包括观看用户的交互,观看用户的人口信息以及观看用户的推断特征。 与广告活动相关联的显示序列树是对应于显示项目并且表示可能的显示项目序列的节点的分层排列。 广告系列至少包含一个显示项目请求。